98 citations · 379 across the 33 of their papers we have counts for
Showing 2017Show all
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stat.ML2017★ 3 cited
Differentially Private Variational Dropout
Beyza Ermis, Ali Taylan Cemgil
Deep neural networks with their large number of parameters are highly flexible learning systems. The high flexibility in such networks brings with some serious problems such as ove…
stat.ML2017★ 3 cited
Differentially Private Dropout
Beyza Ermis, Ali Taylan Cemgil
Large data collections required for the training of neural networks often contain sensitive information such as the medical histories of patients, and the privacy of the training d…
cs.RO2017
EndoSensorFusion: Particle Filtering-Based Multi-sensory Data Fusion with Switching State-Space Model for Endoscopic Capsule Robots
Mehmet Turan, Yasin Almalioglu, Hunter Gilbert +3
A reliable, real time multi-sensor fusion functionality is crucial for localization of actively controlled capsule endoscopy robots, which are an emerging, minimally invasive diagn…